We present a suite of algorithms for self-organization of wireless sensor networks, in which there is a scalably large number of mainly static nodes with highly constrained energy resources. The protocols further support slow mobility by a subset of the nodes, energy-efficient routing, and formation of ad hoc subnetworks for carrying out cooperative signal processing functions among a set of the nodes.

The recent convergence of mobile and context-aware systems has seen a considerable rise in interest in applications that exploit aspects of the operating environment to offer services, tailor application behaviour or trigger adaptation. However, as a result of the lack of generic mechanisms for supporting user mobility and context awareness within dynamic environments, context-aware applications remain very difficult to build and developers must deal with a wide range of issues which may be incidental to the development of new applications. As a result of these issues, few mobile context-i aware applications exist outside the boundaries of the research laboratory and even fewer have been realistically deployed and evaluated in real world settings. In addition, traditional context-aware applications are poorly suited to highly mobile or distributed environments and often unable to tolerate a rapidly changing execution environment, or take advantage of the availability of new services. Moreover, existing approaches to the development of context-aware applications are, in general, highly reliant upon the underlying infrastructure. Consequently application developers must build their applications with specific environments (indoor or